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 "cells": [
  {
   "cell_type": "markdown",
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   "source": [
    "### Target\n",
    "\n",
    "![](http://r-statistics.co/screenshots/ggplot_masterlist_10.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "mtcars= pd.read_csv(\"https://gist.githubusercontent.com/seankross/a412dfbd88b3db70b74b/raw/5f23f993cd87c283ce766e7ac6b329ee7cc2e1d1/mtcars.csv\") \n",
    "mtcars['mpg_z']= ((mtcars['mpg'] - mtcars['mpg'].mean()))/mtcars['mpg'].std()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>model</th>\n",
       "      <th>mpg</th>\n",
       "      <th>cyl</th>\n",
       "      <th>disp</th>\n",
       "      <th>hp</th>\n",
       "      <th>drat</th>\n",
       "      <th>wt</th>\n",
       "      <th>qsec</th>\n",
       "      <th>vs</th>\n",
       "      <th>am</th>\n",
       "      <th>gear</th>\n",
       "      <th>carb</th>\n",
       "      <th>mpg_z</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Mazda RX4</td>\n",
       "      <td>21.0</td>\n",
       "      <td>6</td>\n",
       "      <td>160.0</td>\n",
       "      <td>110</td>\n",
       "      <td>3.90</td>\n",
       "      <td>2.620</td>\n",
       "      <td>16.46</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0.150885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mazda RX4 Wag</td>\n",
       "      <td>21.0</td>\n",
       "      <td>6</td>\n",
       "      <td>160.0</td>\n",
       "      <td>110</td>\n",
       "      <td>3.90</td>\n",
       "      <td>2.875</td>\n",
       "      <td>17.02</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0.150885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Datsun 710</td>\n",
       "      <td>22.8</td>\n",
       "      <td>4</td>\n",
       "      <td>108.0</td>\n",
       "      <td>93</td>\n",
       "      <td>3.85</td>\n",
       "      <td>2.320</td>\n",
       "      <td>18.61</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0.449543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Hornet 4 Drive</td>\n",
       "      <td>21.4</td>\n",
       "      <td>6</td>\n",
       "      <td>258.0</td>\n",
       "      <td>110</td>\n",
       "      <td>3.08</td>\n",
       "      <td>3.215</td>\n",
       "      <td>19.44</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.217253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Hornet Sportabout</td>\n",
       "      <td>18.7</td>\n",
       "      <td>8</td>\n",
       "      <td>360.0</td>\n",
       "      <td>175</td>\n",
       "      <td>3.15</td>\n",
       "      <td>3.440</td>\n",
       "      <td>17.02</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>-0.230735</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               model   mpg  cyl   disp   hp  drat     wt   qsec  vs  am  gear  \\\n",
       "0          Mazda RX4  21.0    6  160.0  110  3.90  2.620  16.46   0   1     4   \n",
       "1      Mazda RX4 Wag  21.0    6  160.0  110  3.90  2.875  17.02   0   1     4   \n",
       "2         Datsun 710  22.8    4  108.0   93  3.85  2.320  18.61   1   1     4   \n",
       "3     Hornet 4 Drive  21.4    6  258.0  110  3.08  3.215  19.44   1   0     3   \n",
       "4  Hornet Sportabout  18.7    8  360.0  175  3.15  3.440  17.02   0   0     3   \n",
       "\n",
       "   carb     mpg_z  \n",
       "0     4  0.150885  \n",
       "1     4  0.150885  \n",
       "2     1  0.449543  \n",
       "3     1  0.217253  \n",
       "4     2 -0.230735  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mtcars.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6.678685382510707e-16"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_mpg_z = mtcars['mpg_z'].mean()\n",
    "mean_mpg_z"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
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"
     },
     "metadata": {
      "jupyter-vega": "#943a69db-2994-4f59-b8c9-361832f5cbbe"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from altair import *\n",
    "Chart(mtcars).mark_bar().encode(y=Y('model', sort=SortField(op='mean', order='descending', field='mpg_z')),\n",
    "                                x=X('mpg_z', ),\n",
    "                              color= Color('Performance:N')).transform_data(\n",
    "   calculate=[Formula('Performance', expr.where(expr.df.mpg_z < mean_mpg_z,'Below average','Above average'))],\n",
    "   \n",
    ").configure_cell(height=100, width=400).configure_scale(bandSize=12) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Todo\n",
    "\n",
    "1. How to use mean of mpg_z in expression, if calculated on the fly? Like\n",
    "expr.where(expr.df.mpg_z < expr.df.mpg_z.mean(),'Below average','Above average'))\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
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